Multivariate Repeated Measures Analysis Part 1: Linear Mixed Effect Model

[@alphamasemba99]

I have been waiting for your comeback. It's great having you back. Looking forward to watching quite a lot other uploads from you.

[@renaissancewoman6015]

Much appreciated!

[@dayoadeleke9766]

Good to have you back. Look forward to more post from you. And nice details about lme 👍🏽

[@niiayiankrah7072]

Been very long. Great to have you back.
Looking forward to seeing lot more lecture videos from you.
Hope i can also get in touch for possible collaboration as well.

[@jocelyn_xinrou9518]

Great video! Keep posting

[@mozhdehforghani1651]

Very good tutorial! Thank you. When would you plan to upload the other parts of ten-part series? I look forward to more post.

[@mahakhan1346]

Your videos are very clear. Thank you so much for uploading

[@VladimirShatalov]

Thank you so much, good work! Waiting for Profile Analysis video. Best regards.

[@biancadecastro3871]

Thank you sooo much for your videos!! Are you still planing to post the others? I'm finally understanding multivariate statistical analysis with you. Please, could you share the rest of the 10 seminars? Thanks a lot

[@fredericobaptista7103]

Thank you very much for this tutorial. Have you already made the video on Doubly Multivariate Repeated Measures Analysis (for multiple outcome variables with repeated measures)?

[@khaledf3977]

Thanks fir the explanation
There are an error in the interpretation of the model summary, variabletest3 is the difference between test 3 mean test 1 mean not as stated in the video. If you want to have results as described you need to use Helmert contrasts

[@mkoberoi]

Incredible tutorial!!! Thank you!

[@margaretchen7608]

I like your video, it is very clear. Thank you so much

[@OurHavenStuart]

Great tutorial, however I suggest you add a few NA's to your data which would reflect more real world scenerio

[@chiawenkuo1499]

Very helpful video. Did you share the R code somewhere? Thank you.